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The official implementation of MARS: Unleashing the Power of Variance Reduction for Training Large Models
A naturalistic trajectory dataset with dense driving interactions and the toolbox for driving interaction extraction.
Implementation of BERT that could load official pre-trained models for feature extraction and prediction
Clean, Robust, and Unified PyTorch implementation of popular Deep Reinforcement Learning (DRL) algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SAC, ASL)
The next generation deep reinforcement learning tookit
An implementation of "Retentive Network: A Successor to Transformer for Large Language Models"
LLMFlows - Simple, Explicit and Transparent LLM Apps
An Open Source Machine Learning Framework for Everyone
Modern, advanced, portable, multiprotocol bootloader and boot manager.
BabyAI platform. A testbed for training agents to understand and execute language commands.
repository for Publicly Available Clinical BERT Embeddings
🏡 Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.
IBM Fully Homomorphic Encryption Toolkit For Linux. This toolkit is a Linux based Docker container that demonstrates computing on encrypted data without decrypting it! The toolkit ships with two de…
AdalFlow: The library to build & auto-optimize LLM applications.
Hello, I pushed some python environments for Multi Agent Reinforcement Learning.
Sample applications built using AWS' Amazon Machine Learning.
Dromedary: towards helpful, ethical and reliable LLMs.
LLMs build upon Evol Insturct: WizardLM, WizardCoder, WizardMath
Pytorch-Named-Entity-Recognition-with-BERT
WavJourney: Compositional Audio Creation with LLMs
C++ image processing and machine learning library with using of SIMD: SSE, AVX, AVX-512, AMX for x86/x64, NEON for ARM.
H2O LLM Studio - a framework and no-code GUI for fine-tuning LLMs. Documentation: https://docs.h2o.ai/h2o-llmstudio/
Bare bone examples of machine learning in TensorFlow
High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI …
ColBERT: state-of-the-art neural search (SIGIR'20, TACL'21, NeurIPS'21, NAACL'22, CIKM'22, ACL'23, EMNLP'23)
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas …
