Translated🚀 AI Fully Automated Short Video Engine
- aigc
- comfyui
- image-generation
- tts
Repository Index
47,133 repositories indexed
1–24 of 24 · Most stars
A 100% free modern JS SaaS boilerplate (React, NodeJS, Prisma). Full-featured: Auth (email, google, github, slack, MS), Email sending, Background jobs, Landing page, Payments (Stripe, Polar.sh), Shadcn UI, S3 file upload. AI-ready with tailored AGENTS.md, skills, and Claude Code plugin. One cmd deploy. Powered by Wasp full-stack framework.
- full-stack
- open-source
- saas
- nodejs
Use PEFT or Full-parameter to CPT/SFT/DPO/GRPO 600+ LLMs (Qwen3.8, DeepSeek-V4, GLM-5.1, InternLM3, Llama4, ...) and 300+ MLLMs (Qwen3-VL, Qwen3-Omni, InternVL3.5, Ovis2.5, GLM5.3, Gemma4, Llava, Phi4, ...) (AAAI 2025).
Speech-to-text, text-to-speech, speaker diarization, speech enhancement, source separation, and VAD using next-gen Kaldi with onnxruntime without Internet connection. Support embedded systems, Android, iOS, HarmonyOS, Raspberry Pi, RISC-V, RK NPU, Axera NPU, Ascend NPU, x86_64 servers, websocket server/client, support 12 programming languages
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑🔬
Easy-to-use Speech Toolkit including Self-Supervised Learning model, SOTA/Streaming ASR with punctuation, Streaming TTS with text frontend, Speaker Verification System, End-to-End Speech Translation and Keyword Spotting. Won NAACL2022 Best Demo Award.
- transformer
- conformer
- speech-translation
- streaming-asr
Open-source library of optimized deep learning operations (matmul, convolution, attention) for CPUs (x64, AArch64, RISC-V) and Intel GPUs. Used by PyTorch, TensorFlow, OpenVINO, and ONNX Runtime.
- onednn
- oneapi
- performance
- cpp
Fullstack SaaS Boilerplate built with tRPC, Fastify and React
Modular Reinforcement Learning (RL) library (implemented in PyTorch, JAX, and NVIDIA Warp) with support for Gymnasium/Gym, NVIDIA Isaac Lab, MuJoCo Playground and other environments
- reinforcement-learning
- python
- deep-learning
- gym
TensorFlow Implementation for Computing a Semantically Segmented Bird's Eye View (BEV) Image Given the Images of Multiple Vehicle-Mounted Cameras.
- computer-vision
- machine-learning
- deep-learning
- autonomous-vehicles
TranslatedAI Paper System · AI paper generation, AI paper writing, one-click paper generation, AIGC rate reduction, plagiarism similarity reduction, thesis defense PPT · OEM white-label franchise recruitment
- ai
- ai-humanizer
- ai-ppt
- aigc
I, Librarian - open-source version of a PDF managing SaaS.
- pdf-viewer
- php
- saas
Sayna is a unified Voice Layer for AI Agents with a seemless integration to an existing agentic frameworks
- ai-agents
- speech-to-text
- text-to-speech
- voice-agents
Awesome TensorFlow.js - A curated list of dedicated resources to master TensorFlow.js
A Genetic Programming platform for Python with TensorFlow for wicked-fast CPU and GPU support.
TransformerCPI: Improving compound–protein interaction prediction by sequence-based deep learning with self-attention mechanism and label reversal experiments(BIOINFORMATICS 2020) https://doi.org/10.1093/bioinformatics/btaa524
- self-attention
- compound-protein-interaction
- transformercpi
- structure-free-virtual-sreening
🔤 Natural language detection for Elixir without AI
- elixir
- language
- language-detection
- detect-language
Transformer-SRU LiDAR navigation for Unitree G1: Isaac Lab training, MuJoCo validation, and ROS 2 deployment.
GPTModels - a multi model, window based LLM AI plugin for neovim, with an emphasis on stability and clean code
Example of reinforcement learning using q-learning to teach an AI to play a game in Rub
- ruby
- rubyml
- ai
- q-learning
A V module to use multi-layer neural networks. Includes backpropagation but you can train them the way you want. If you have any questions or suggestions I'd be happy to read them !
Example of creating and using a Neural Network in Ruby
- rubyml
The repository host gives no description.
- rubyml
- ruby
- python
- scikit-learn
The repository host gives no description.
- rubyml
- ml
- unsupervised-learning
- kmeans-clustering