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♔CzarScripts #1 Bots ♔ Proven the #1 selling, most users, most replies Script Series on the market. Big THANK YOU to all our wonderful users and supporters over the 8 years, we couldn't have done it without you. Czar Bots have always been the Best and the most Feature-rich bots available with the most total sales in OSBot history. Come and find out why everyone is choosing Czar Bots today. ♔ LATEST BOTS ♔ If you want a trial - just post the script name and it will be activated after I hit 'like' on your post Requirements: hit 'like' on this thread

Progamerz Giants' Foundry Buy now($8.99): Store Or Like the post and comment below to get 12 hours trial Join the Discord Server for faster support and bug fixes.(No trials will be given through discord) Features: Simple and easy to use GUI Fully customizable input materials Efficient and precise stage switching Uses the best mould setup to get more points and experience Supports ice gloves and water buckets Custom break manager Automatic stop conditions Instructions: Make sure the client is in fixed mode and not resizable. Make sure to start the script with the weapon equipment slot empty. The script will automatically know it should use a bucket of water if ice gloves or smiths gloves (i) are not equipped when starting the script. Enjoy the gains CLI Instructions Screenshots:

View in store ($3,99 for lifetime access) Features: Supports every location you would ever want to cook (anywhere missing? request it!) Supports almost every food item cookable on a range or fire (anything missing? request it!) Smart Target-oriented back-end stops the script when you have accomplished your desired goal Option to move mouse outside screen while cooking to simulate human AFKing Where Make-All isn't available, A Gaussian distribution based suffixed string generation algorithm randomises entered Make-X values Utilises a combination of WebWalking and recorded paths to ensure the script never strays from it's job Simple, intuitive GUI which auto-detects your food and location based on your inventory and minimap position Stable cooking & banking algorithms, tuned individually for each food item and bank Clean, informative, Anti-aliased, un-obstructive and fully movable self-generating paint Movable on-canvas scrolling console logger Efficient script logic ensures an EXP-optimised experience Normally distributed response times to simulate a human's reflexes Stops & logs out when out of food, saving your progress to the console and web Dynamic signatures allow you to track your progress as you use the script Handles obstacles and doors between the bank and the range to ensure door spammers cannot hinder your gains CLI is supported for all hardcore chef needs ... and many more ... Supported food: This script only supports cooking these food items on ranges/fires, it will not combine ingredients to make items such as Tuna potatoes or Pineapple pizzas. Shrimp Anchovies Sardine Herring Mackerel Chicken Beef Bear meat Rabbit Rat meat Sinew from Bear meat Sinew from Beef Trout Salmon Cod Pike Bass Rainbow fish Tuna Lobster Swordfish Monkfish Shark Dark crab Sea turtle Manta ray Anglerfish Karambwan Poison Karambwan Bowl of Water Uncooked pizza Potato Seaweed Sweetcorn Stew (new!) Curry (new!) Just ask for a new food item to be added! Supported locations: Rogues den Lumbridge Kitchen (new!) Catherby Nardah Tzhaar City Al-Kharid Zanaris Neitiznot Varrock East Hosidius Kitchen Gnome Stronghold Varrock Cooks' Guild Port Khazard Edgeville Mor Ul Rek Myths' Guild (new!) Just ask for a new location to be added! Why choose APA Scripts? As an experienced veteran scripter here on OSBot, I strive to give you the best user experience that I can by providing frequent updates and fixes. With over 40 cumulative 5 star reviews on the store, as well as my Scripter III rank, you know you're in safe hands. Want something added? Don't like something? Have an awesome proggie to share? Let me know! Example GUI: Starting from CLI: Gallery: _________________________________________________________________________________________ Credits:

By Czar 99 in one go!!! Multiple 99s in 1 sitting!!!!! Features List - Supports 4 locations, with randomisation options (Randomise all, randomise north-only, randomise south-only) - Supports taking the axe for woodcutting, if not already equipped/held - Supports taking all equipment including Tinderbox, knife, unfinished potions from crates - Prepares for matches early, and waits around the brazier if you selected to light them (For +25 initial points) - Supports waiting at the safezone after winning the match (at 500 points) to preserve food - Supports training agility via the northern agility steppe - Knows exactly which external actions interrupt your current action, and plans accordingly - Identifies cold snaps and either avoids them completely, or randomises between avoiding and tolerating them - Allows you to fletch logs before burning them for a more balanced experience gain - Choose to optionally switch to other sectors if pyromancer is dying - Identifies pyromancer health, brazier repaired, brazier lit at all times - Knows exactly how many points our current inventory holds (in terms of burning logs) - Gets 1-50 firemaking: locked to maximum of 50 firemaking, and locked to Grand Exchange only. - Buys a player-owned-house via the Varrock Estate agent if you don't already own one (Optional) - Identifies if the account has visited Zeah before, and plans ahead. - Will travel to Zeah by ship to unlock it for newer accounts (Highly useful for goldfarming!) - Resupplies food, jewellery and teleports via the Grand Exchange - Teleports to Grand Exchange supported: Ring of wealth, Varrock teleport tab, Varrock spell (runes only!), Amulet of glory, Home teleport (Lumbridge/Edgeville) - Teleports to Wintertodt Camp supported: Games necklace, walking - Allows you to filter and join matches when a certain % of the game is already active, so wait for next match if below X% - Either holds onto crates, banks them or opens them - up to you! - Supports choosing your own food, choosing when to eat (eat %), choosing minimum to leave match for, and amount to withdraw - Upgrades to pyromancer gear when applicable - Identifies when you get a Phoenix pet - Buys warm clothing that your account is able to wear, filters by skill requirement. - Stop notifications tab (similar to Perfect Fighter): allows you to choose when to stop the bot, or when to alert/notify you - Stop the script at ANY moment in time, after X minutes/hours/seconds, after X wins, after X item gained (pet too!), after X experience gained & more! Buying Warm Clothing (3 missing pieces)! Results

────────────── PREMIUM SUITE ────────────── ─────────────── FREE / VIP+ ─────────────── ──────────────────────────────────────────────────────────── ⌠ Sand crabs - $4,99 | Rooftop Agility - $5,99 | AIO Smither - $4,99 | AIO Cooker - $3,99 | Unicow Killer - £3,99 | Chest Thiever - £2,99 | Rock crabs - $4,99 | Rune Sudoku - $9,99 ⌡ ⌠ AIO Herblore - FREE & OPEN-SOURCE | Auto Alcher - FREE | Den Cooker - FREE | Gilded Altar - FREE | AIO Miner - VIP+ ⌡ ──────────────────────────────────── What is a trial? A trial is a chance for you to give any of my scripts a test run. After following the instructions below, you will receive unrestricted access to the respective script for 24 hours starting when the trial is assigned. Your trial request will be processed when I log in. The trial lasts for 24 hours to cater for time zones, such that no matter when I start the trial, you should still get a chance to use the script. Rules: Only 1 trial per user per script. How to get a trial: 'Like' this thread AND the corresponding script thread using the button at the bottom right of the original post. Reply to this thread with the name of the script you would like a trial for. Your request will be processed as soon as I log in. If i'm taking a while, i'm probably asleep! Check back in the morning Once I process your request, you will have the script in your collection (just like any other SDN script) for 24 hours. Private scripts: Unfortunately I do not currently offer private scripts. ________________________________________ Thanks in advance and enjoy your trial! -Apaec.

RUNNING 4 SESSIONS PER NODE NODE [2] WITH 4 MORE BOTS Showcase: 8 bots same time generating ~2.8m/hr which equals to roughly ~67m/day! 1 MULE PER MACHINE FAQ What is the script ID? 782 Can I run this bot with the Bot Manager? Yes, the parameters will be the saved file name in the setup window, you will see once you run the bot. Can I request features added to this bot? Yes, I am always listening to requests and adding new features all the time!

perfect agility

yeah tried all settings =D

oh sorry i cant remember, mustve been a couple years ago. btw i bought the gotr script

Great fighter, but most of all with all of CZARS scripts the dude is active and constantly answering questions / updating. I only buy his scripts

Could i also get a trail, please and thank you!

can i get a trial please?

Perfect Herblore please

Perfect Fisher trial please

Rune crafting trial please to try

Can i please trial perfect fisher!?

would love a trial for this if you could. thanks

The area of Neural Networks has originally been primarily inspired by the goal of modeling biological neural systems, but has since diverged and become a matter of engineering and achieving good results in Machine Learning tasks. Nonetheless, we begin our discussion with a very brief and high-level description of the biological system that a large portion of this area has been inspired by. BIOLOGICAL MOTIVATIONS AND CONNECTIONS The basic computational unit of the brain is a neuron. Approximately 86 billion neurons can be found in the human nervous system and they are connected with approximately 10^14 - 10^15 synapses. The diagram below shows a cartoon drawing of a biological neuron (first model) and a common mathematical model (second model). Each neuron receives input signals from its dendrites and produces output signals along its (single) axon. The axon eventually branches out and connects via synapses to dendrites of other neurons. In the computational model of a neuron, the signals that travel along the axons (e.g. x0x0) interact multiplicatively (e.g. w0x0w0x0) with the dendrites of the other neuron based on the synaptic strength at that synapse (e.g. w0w0). The idea is that the synaptic strengths (the weights ww) are learnable and control the strength of influence (and its direction: excitory (positive weight) or inhibitory (negative weight)) of one neuron on another. In the basic model, the dendrites carry the signal to the cell body where they all get summed. If the final sum is above a certain threshold, the neuron can fire, sending a spike along its axon. In the computational model, it is assumed that the precise timings of the spikes do not matter, and that only the frequency of the firing communicates information. Based on this rate code interpretation, the firing rate of the neuron is with an activation function ff, which represents the frequency of the spikes along the axon. Historically, a common choice of activation function is the sigmoid function σσ, since it takes a real-valued input (the signal strength after the sum) and squashes it to range between 0 and 1. Models mentioned above: These neurons, when put together in groups, create networks known as Neural Networks. The architecture of a Neural Network can be broken down into layers. There are input layers, hidden layers, and output layers. Left: A 2-layer Neural Network (one hidden layer of 4 neurons (or units) and one output layer with 2 neurons), and three inputs. Right: A 3-layer neural network with three inputs, two hidden layers of 4 neurons each and one output layer. Notice that in both cases there are connections (synapses) between neurons across layers, but not within a layer. Using more hidden layers will give the Neural Network more accuracy at the expense of being very computationally intensive and thus take much longer to train in some cases. The more complex a problem is, the more hidden layers and hidden neurons will be needed. As you can see, the more hidden neurons shown above, the more precise the network can be in its answer. Data points are shown as dots. Their color represents the expected value, and the shaded regions represent the output of the network at that given position. i.e. a green dot in a red region means the network has incorrectly predicted the data. You can play with this yourself at http://cs.stanford.edu/people/karpathy/convnetjs/demo/classify2d.html Thanks for reading! Let me know if you would like me to continue the tutorials. It may seem dry right now but as you get deeper and deeper into this topic it becomes much more interesting. Heres a little extra video for those who are new to Machine Learning: -Ares