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Kris Ganjam's starred repositories

AutoGPT

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

Language:PythonMIT164803 1560 2365

autogen

A programming framework for agentic AI. Discord: https://aka.ms/autogen-dc. Roadmap: https://aka.ms/autogen-roadmap

Language:Jupyter NotebookCC-BY-4.028579 361 1459

langflow

⛓️ Langflow is a dynamic graph where each node is an executable unit. Its modular and interactive design fosters rapid experimentation and prototyping, pushing hard on the limits of creativity.

Language:JavaScriptMIT16275 141 638

peft

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

Language:PythonApache-2.015101 104 968

uvloop

Ultra fast asyncio event loop.

Language:CythonApache-2.010172 226 349

qlora

QLoRA: Efficient Finetuning of Quantized LLMs

Language:Jupyter NotebookMIT9724 84 246

WizardLM

LLMs build upon Evol Insturct: WizardLM, WizardCoder, WizardMath

Language:Python9095 111 189

BayesianOptimization

A Python implementation of global optimization with gaussian processes.

Language:PythonMIT7662 130 354

accelerate

🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (including fp8), and easy-to-configure FSDP and DeepSpeed support

Language:PythonApache-2.07403 98 1480

starcoder

Home of StarCoder: fine-tuning & inference!

Language:PythonApache-2.07207 69 141

GPT-4-LLM

Instruction Tuning with GPT-4

Language:HTMLApache-2.04098 43 33

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.

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