Rishiraj Acharya (rishiraj)

rishiraj

Geek Repo

Company:@Dynopii

Location:Kolkata, West Bengal

Home Page:https://rishiraj.github.io/

Twitter:@RishirajAcharya

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Organizations
DeepFusionAI
dscnsec
winterofcode

Rishiraj Acharya's repositories

models

Models and examples built with TensorFlow

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alignment-handbook

Robust recipes to align language models with human and AI preferences

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alpaca_eval

An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.

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autoxgb

XGBoost + Optuna

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blog-1

Public repo for HF blog posts

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Clueless-Chef-Aid

This AI chatbot can be the solution for the tired clueless chefs (like myself lol) who just wanna whip up something out of the random stuff in their pantry and make something tasty.

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FastChat

An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.

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generative-ai

Sample code and notebooks for Generative AI on Google Cloud

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indexify-extractors

Production ready extractors for extracting embedding or JSON metadata from unstructured data sources.

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indexify_extractor_sdk

SDK to build new extractors for your specific use-cases. It has the tools to build, test and package extractors that can be used with Indexify.

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keras

Deep Learning for humans

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nanoGPT

The simplest, fastest repository for training/finetuning medium-sized GPTs.

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open-hinglish-model

Code related to training/fine-tuning Hindi/Hinglish models.

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optuna-examples

Examples for https://github.com/optuna/optuna

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prodeep

Prodeep πŸͺ” is a minimalist ML framework for Mojo with a focus on performance (including GPU support) and ease of use.

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py-googletrans

(unofficial) Googletrans: Free and Unlimited Google translate API for Python. Translates totally free of charge.

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transformers

πŸ€— Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

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trl

Train transformer language models with reinforcement learning.

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unsloth

5X faster 60% less memory QLoRA finetuning

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vllm

A high-throughput and memory-efficient inference and serving engine for LLMs

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