Protoss In Matrix's repositories
movie_rating_prediction
Predict movie's IMDB rating
aima-python
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
minimal-nn
A minimal implementation of neural network for MNIST experiment. Used as an exercise to help understanding Backpropagation by implementing it in NumPy.
MLAlgorithms
Minimal and clean examples of machine learning algorithms
DeepLearningBook
MIT Deep Learning Book in PDF format
DeepReinforcementLearning
A replica of the AlphaZero methodology for deep reinforcement learning in Python
algorithmic_trading_book
2 books and related source codes for algorithmic trading.
algorithms
Minimal examples of data structures and algorithms in Python
awesome-chatgpt-prompts
This repo includes ChatGPT prompt curation to use ChatGPT better.
ChatterBot
ChatterBot is a machine learning, conversational dialog engine for creating chat bots.
ELF
ELF: a platform for game research with AlphaGoZero/AlphaZero reimplementation
gpt-2
Code for the paper "Language Models are Unsupervised Multitask Learners"
gpt-fast
Simple and efficient pytorch-native transformer text generation in <1000 LOC of python.
gs-quant
Python toolkit for quantitative finance
JARVIS
JARVIS, a system to connect LLMs with ML community. Paper: https://arxiv.org/pdf/2303.17580.pdf
Learn-Algorithmic-Trading
Learn Algorithmic Trading, Published by Packt
leela-zero
Go engine with no human-provided knowledge, modeled after the AlphaGo Zero paper.
llama2.c
Inference Llama 2 in one file of pure C
llamafile
Distribute and run LLMs with a single file.
markdown-to-json
A tool to turn Markdown into a nested JSON structure.
minGPT
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
openchat
OpenChat: Advancing Open-source Language Models with Imperfect Data
pyhdfs
Python HDFS client
tensorflow-white-paper-notes
Annotated notes and summaries of the TensorFlow white paper, along with SVG figures and links to documentation
TensorSlow
Re-implementation of TensorFlow in pure python, with an emphasis on code understandability