Starred repositories
🏅 Collection of Kaggle Solutions and Ideas 🏅
A Python library that helps data scientists to infer causation rather than observing correlation.
The Machine Learning & Deep Learning Compendium was a list of references in my private & single document, which I curated in order to expand my knowledge, it is now an open knowledge-sharing projec…
Open source code for AlphaFold 2.
Development repository for the Triton language and compiler
Uplift modeling and causal inference with machine learning algorithms
An opinionated list of Python frameworks, libraries, tools, and resources
Chia blockchain python implementation (full node, farmer, harvester, timelord, and wallet)
PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
Short Python code snippets for all your development needs
Mathematical derivation and pure Python code implementation of machine learning algorithms.
A collection of Python packages for geospatial analysis with binder-ready notebook examples
A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning al…
Productive, portable, and performant GPU programming in Python.
JAX - A curated list of resources https://github.com/google/jax
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
RNA vaccines have become a key tool in moving forward through the challenges raised both in the current pandemic and in numerous other public health and medical challenges. With the rollout of vacc…
📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.
Trading Environment(OpenAI Gym) + DDQN (Keras-RL)
This project provides a stock market environment using OpenGym with Deep Q-learning and Policy Gradient.
This repository provides the code for a Reinforcement Learning trading agent with its trading environment that works with both simulated and historical market data. This was inspired by OpenAI Gym …
Trading Environment(OpenAI Gym) + PPO(TensorForce)