Welcome to this curated collection of cutting-edge resources for deep learning enthusiasts and professionals. This repository is designed to gather and share impactful tools, research, and insights in the field of AI.
Key platforms and trackers for staying updated in the AI field.
- Papers with Code - SOTA: Stay updated with state-of-the-art methodologies.
A selection of impactful research papers and insightful articles.
- LoRa training guide: An article explaining the functionality of LoRA and practical implementation guide.
- Soccerbots - Google: Insight into AI-driven robotics in sports. (Published on 13.04.2024)
- 3D Agent - Google: Discussion on generalist AI agents in 3D environments. (Published on 15.03.2024)
This section lists various software tools, pre-trained models, and development frameworks.
- Driver for connecting RTX4090 GPUs: Geohot and tinygrad open source NVIDIA GPU connection via P2P.
April 2024
- Octopus-v2 by NexaAI on HuggingFace: A multimodal model for function calling.
March 2024
- Nitro by janhq on GitHub: An open-source tool for AI model deployment.
- Fltr by moritztng on GitHub: A tool for filtering and processing data for AI models.
- LaVague by lavague-ai on GitHub: An open-source framework for large action models.
Base Models
- Gemma-2b on HuggingFace: A 2 billion parameter model by Google.
Models on HuggingFace
- Mixtral-8x22B: A large-scale, efficient AI model.
- Grok-1 by XAI: Explorations in explainable AI.
Models on GitHub
- Storm by Stanford-OVAL: Enhancements in natural language processing.
Informative videos and discussions from leaders and researchers in AI.
- OpenAI Co-Founder Ilya Sutskever on Future of AI: Discussion on the future trajectory of artificial intelligence.
- Resources for audio-related AI/deep learning tools and research will be added here soon. Stay tuned!
This project is open-sourced under the MIT License.