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High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
Simplifying reinforcement learning for complex game environments
This repository contains resources for technical coding interviews.
Code for the paper 🌳 Tree Search for Language Model Agents
Intelligent Go-Explore: Standing on the Shoulders of Giant Foundation Models
TensorRT-FastSAM(https://github.com/CASIA-IVA-Lab/FastSAM)
This is the official code for MobileSAM project that makes SAM lightweight for mobile applications and beyond!
This software allows to run MobileSAM, without python.
On-device AI across mobile, embedded and edge for PyTorch
A comprehensive survey of datasets for research in host-based and/or network-based intrusion detection, with a focus on enterprise networks
Comparing performance of different InfoNCE type losses used in contrastive learning.
[ICML'24] Code for the loss functions and metrics presented in "Bridging mini-batch and asymptotic analysis in contrastive learning: From InfoNCE to Kernel-based losses"
Deep Reinforcement Learning: Zero to Hero!
gevtushenko / llm.c
Forked from karpathy/llm.cLLM training in simple, raw C/CUDA
A Data Streaming Library for Efficient Neural Network Training
🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
Visualizations for machine learning datasets
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
Python binding to Modest and Lexbor engines (fast HTML5 parser with CSS selectors).
A subset of PyTorch's neural network modules, written in Python using OpenAI's Triton.
Tools for merging pretrained large language models.
A Python package for easy multiprocessing, but faster than multiprocessing
Conductor is an event driven orchestration platform
