LLMRepos·Deep Learning Frameworks LLM projects

A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)

A PyTorch Library for Accelerating 3D Deep Learning Research

DeepResearchAgent is a hierarchical multi-agent system designed not only for deep research tasks but also for general-purpose task solving. The framework leverages a top-level planning agent to coordinate multiple specialized lower-level agents, enabling automated task decomposition and efficient execution across diverse and complex domains.

🦖 𝗟𝗲𝗮𝗿𝗻 about 𝗟𝗟𝗠𝘀, 𝗟𝗟𝗠𝗢𝗽𝘀, and 𝘃𝗲𝗰𝘁𝗼𝗿 𝗗𝗕𝘀 for free by designing, training, and deploying a real-time financial advisor LLM system ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 𝘷𝘪𝘥𝘦𝘰 & 𝘳𝘦𝘢𝘥𝘪𝘯𝘨 𝘮𝘢𝘵𝘦𝘳𝘪𝘢𝘭𝘴

A framework for prompt tuning using Intent-based Prompt Calibration

An unofficial PyTorch implementation of the audio LM VALL-E

🔥 Java enterprise application development framework for full scenario: Restrained, Efficient, Open, Ecologicalll!!! 700% higher concurrency 50% memory savings Startup is 10 times faster. Packing 90% smaller; Compatible with java8 ~ java26; Supports LTS. (Replaceable spring)

Official repository of the xLSTM.

A JAX research toolkit for building, editing, and visualizing neural networks.

Toolkit for efficient experimentation with Speech Recognition, Text2Speech and NLP

Research on Tabular Deep Learning: Papers & Packages

Pure Rust implementation of a minimal Generative Pretrained Transformer

🤖 A PyTorch library of curated Transformer models and their composable components

A microframework on top of PyTorch with first-class citizen APIs for foundation model adaptation

Adan: Adaptive Nesterov Momentum Algorithm for Faster Optimizing Deep Models

From scratch implementation of a sparse mixture of experts language model inspired by Andrej Karpathy's makemore :)

OpenChem: Deep Learning toolkit for Computational Chemistry and Drug Design Research

The PyTorch implementation of Generative Pre-trained Transformers (GPTs) using Kolmogorov-Arnold Networks (KANs) for language modeling

Implementation of Gamma-World: Generative Multi-Agent World Modeling Beyond Two Players

Official implementation for "Blended Latent Diffusion" [SIGGRAPH 2023]

PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.

Generative Adversarial Text to Image Synthesis / Please Star -->

Underexposed Photo Enhancement Using Deep Illumination Estimation

PyTorch implementation of some attentions for Deep Learning Researchers.

My Keras implementation of the Deep Semantic Similarity Model (DSSM)/Convolutional Latent Semantic Model (CLSM) described here: http://research.microsoft.com/pubs/226585/cikm2014_cdssm_final.pdf.

Implementation of E2-TTS, "Embarrassingly Easy Fully Non-Autoregressive Zero-Shot TTS", in Pytorch

Graph convolutional neural network for multirelational link prediction

DeepPruner: Learning Efficient Stereo Matching via Differentiable PatchMatch (ICCV 2019)

PyTorch-based framework for Deep Hedging

[CVPR 2020] DSGN: Deep Stereo Geometry Network for 3D Object Detection

A deep learning library for streamlining research and development using the Torch7 distribution.

The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.

Deep Reinforcement Learning in C#

LSTM-MATLAB is Long Short-term Memory (LSTM) in MATLAB, which is meant to be succinct, illustrative and for research purpose only. It is accompanied with a paper for reference: Revisit Long Short-Term Memory: An Optimization Perspective, NIPS deep learning workshop, 2014.

Velocity in deep-learning research

CORAL and CORN implementations for ordinal regression with deep neural networks.

Minimal yet performant LLM examples in pure JAX

Deep learning research framework based on Theano

A modern deep learning framework built to accelerate research and development of AI systems

PyTorch implementation of a deep metric learning technique called "Magnet Loss" from Facebook AI Research (FAIR) in ICLR 2016.