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nirmalsinghania2008
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"Few is the number of those who think with their own mind and feel with their own heart."― Albert Einstein
The best repository showing why transformers might not be the answer for time series forecasting and showcasing the best SOTA non transformer models.
🌌 A collaborative list of awesome software for exploring Physics concepts
🔥Highlighting the top ML papers every week.
A multiphase multiphysics dataset and benchmarks for scientific machine learning
A high-throughput and memory-efficient inference and serving engine for LLMs
The simplest way to run LLaMA on your local machine
🤖 The free, Open Source alternative to OpenAI, Claude and others. Self-hosted and local-first. Drop-in replacement for OpenAI, running on consumer-grade hardware. No GPU required. Runs gguf, transf…
🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming
Interact with your documents using the power of GPT, 100% privately, no data leaks
FlagAI (Fast LArge-scale General AI models) is a fast, easy-to-use and extensible toolkit for large-scale model.
😎 Awesome list of tools and projects with the awesome LangChain framework
A public release of TimelineBuilder for building personal digital data timelines.
Debugging, monitoring and visualization for Python Machine Learning and Data Science
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
Compiler for LightGBM gradient-boosted trees, based on LLVM. Speeds up prediction by ≥10x.
Hummingbird compiles trained ML models into tensor computation for faster inference.
Simple and efficient pytorch-native transformer text generation in <1000 LOC of python.
Nearly a thousand bash and python scripts I've written over the years.
Chain together LLMs for reasoning & orchestrate multiple large models for accomplishing complex tasks
Modular Python framework for AI agents and workflows with chain-of-thought reasoning, tools, and memory.
An annotated reference list of ML theory
A collection of open-source dataset to train instruction-following LLMs (ChatGPT,LLaMA,Alpaca)
GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.
Code and documentation to train Stanford's Alpaca models, and generate the data.
