Tanjiro (Tushar-ml)

Tushar-ml

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Company:Simplismart

Location:Bangalore

Twitter:@tushargoel_ai

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Tanjiro's repositories

G2RL-Path-Planning

Code for G2RL to solve the multi-robot path planning problem in a fully distributed reactive manner.

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DarkNeuron

This Library will deal with the implementation of Automatic Deep Learning which can reduce the time and Complexity for non-technical users and Specialists in this field to train their own networks with significant accuracies and can perform Image Classification, Object Detection and hybridization of Models.

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Voice-Based-Speech-Enhancer

VoiceAI™ helps to analyze the sentiment of Voice and text engagement. The device automatically analyzes the speech to determine the visual or textual engagement of users.

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basaran

Basaran is an open-source alternative to the OpenAI text completion API. It provides a compatible streaming API for your Hugging Face Transformers-based text generation models.

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benchmark

Benchmark suite for LLMs from Fireworks.ai

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declarai

A Pythonic integration for LLMs.

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ED-CEC

Improving Rare Word Recognition Using Asr Postprocessing Based On Error Detection And Context-Aware Error Correction

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Extended-Faster-Diffusion

Official implementation of "Faster Diffusion: Rethinking the Role of UNet Encoder in Diffusion Models"

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fastEAGLE

[ICML'24] EAGLE: Speculative Sampling Requires Rethinking Feature Uncertainty

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faster-whisper

Faster Whisper transcription with CTranslate2

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Image-Processing-OpenCV

This repository is focused on having various feature implementation of OpenCV in Python. The aim is to have a minimal implementation of all OpenCV features together, under one roof.

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mojo

The Mojo Programming Language

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Portfolio

Tushar's Portfolio

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StyleTTS2-Multilingual

StyleTTS 2: Towards Human-Level Text-to-Speech through Style Diffusion and Adversarial Training with Large Speech Language Models

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TensorRT-LLM

TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT-LLM also contains components to create Python and C++ runtimes that execute those TensorRT engines.

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The-Complete-FAANG-Preparation

This repository contains all the DSA (Data-Structures, Algorithms, 450 DSA by Love Babbar Bhaiya, FAANG Questions), Technical Subjects (OS + DBMS + SQL + CN + OOPs) Theory+Questions, FAANG Interview questions, and Miscellaneous Stuff (Programming MCQs, Puzzles, Aptitude, Reasoning). The Programming languages used for demonstration are C++, Python, and Java.

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whisper-pro

Upgrading Robust Speech Recognition via Large-Scale Weak Supervision

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