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AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
This project uses Deep Reinforcement Learning (DRL) to develop and evaluate stock trading strategies. By implementing agents like PPO, A2C, DDPG, SAC, and TD3 in a realistic trading environment wit…
Verilog source code for book: Computer Architecture Tutorial
Python framework for TradingView's Lightweight Charts JavaScript library.
A convolutional neural network implemented in hardware (verilog)
A final semester based group project for EE4218: Embedded Hardware System Design module in NUS where I worked with my teammate to perform Machine Learning models i.e. MLP Neural Networks on an FPGA…
Multi-layered perceptron neural network implemented in verilog.
Verilog Sigmoid and Tanh functions which can be configured and added to your neural network project
Deep Neural Network with back propagation implemented in Verilog.
HDL implementation of a pipelined multilayer perceptron (neural network)
FPGA based acceleration of Convolutional Neural Networks. The project is developed by Verilog for Altera DE5 Net platform.
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...
OpenSource GPU, in Verilog, loosely based on RISC-V ISA
XDAG miner On Altera/Intel OpenCL(FPGA Cyclone V) PCIe Card
Software to look for interrelationships between constants and find formulas for number sequences
unknown-marketwizards / time-series-pattern-recognition-zh
Forked from allarddenis/time-series-pattern-recognitionGenerated python code analysing time series and extracting patterns from it.
Enabling Flexible FPGA High-Level Synthesis of Tensorflow Deep Neural Networks
Notebook for running GPT neo models based on GPT3
Symbolic regression is the task of identifying a mathematical expression that best fits a provided dataset of input and output values. In this work, we present SymbolicGPT, a novel transformer-base…