sergiogcharles's Stars
lucidrains/se3-transformer-pytorch
Implementation of SE3-Transformers for Equivariant Self-Attention, in Pytorch. This specific repository is geared towards integration with eventual Alphafold2 replication.
pmocz/nbody-python
Vectorized N-body code (Python)
deepchem/deepchem
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
ehoogeboom/e3_diffusion_for_molecules
lucidrains/egnn-pytorch
Implementation of E(n)-Equivariant Graph Neural Networks, in Pytorch
openai/tiktoken
tiktoken is a fast BPE tokeniser for use with OpenAI's models.
web-arena-x/visualwebarena
VisualWebArena is a benchmark for multimodal agents.
OSU-NLP-Group/TravelPlanner
[ICML'24 Spotlight] "TravelPlanner: A Benchmark for Real-World Planning with Language Agents"
web-arena-x/webarena
Code repo for "WebArena: A Realistic Web Environment for Building Autonomous Agents"
cooelf/Auto-GUI
Official implementation for "You Only Look at Screens: Multimodal Chain-of-Action Agents" (Findings of ACL 2024)
ollama/ollama
Get up and running with Llama 3.2, Mistral, Gemma 2, and other large language models.
davidmrau/mixture-of-experts
PyTorch Re-Implementation of "The Sparsely-Gated Mixture-of-Experts Layer" by Noam Shazeer et al. https://arxiv.org/abs/1701.06538
princeton-nlp/tree-of-thought-llm
[NeurIPS 2023] Tree of Thoughts: Deliberate Problem Solving with Large Language Models
cyoon1729/RLcycle
A library for ready-made reinforcement learning agents and reusable components for neat prototyping
eriklindernoren/PyTorch-GAN
PyTorch implementations of Generative Adversarial Networks.
sdv-dev/CTGAN
Conditional GAN for generating synthetic tabular data.
sbadirli/GrowNet
neurotrader888/VolatilityHawkes
mhallsmoore/qstrader
QuantStart.com - QSTrader backtesting simulation engine.
alpacahq/alpaca-py
The Official Python SDK for Alpaca API
financialnoob/pairs_trading
experiments with pair trading
alshedivat/al-folio
A beautiful, simple, clean, and responsive Jekyll theme for academics
BGasperov/drlformm
This repository contains the main code used in the paper "Deep Reinforcement Learning for Market Making Under a Hawkes Process-Based Limit Order Book Model"
RajGhugare19/alm
Simplifying Model-based RL: Learning Representations, Latent-space Models and Policies with One Objective
jannerm/mbpo
Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"
EthanGeekFan/poop_master
C++ PooPool client. Mines Marabu with GPU(OpenCL).
diff-usion/Awesome-Diffusion-Models
A collection of resources and papers on Diffusion Models
lucidrains/DALLE2-pytorch
Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch
je-suis-tm/quant-trading
Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, Shooting Star, London Breakout, Heikin-Ashi, Pair Trading, RSI, Bollinger Bands, Parabolic SAR, Dual Thrust, Awesome, MACD
google-research/dads
Code for 'Dynamics-Aware Unsupervised Discovery of Skills' (DADS). Enables skill discovery without supervision, which can be combined with model-based control.