mayanksinha900 Goto Github PK

bark

🔊 Text-Prompted Generative Audio Model

candle

Minimalist ML framework for Rust

certificates

cpython

The Python programming language

ctranslate2

Fast inference engine for Transformer models

deeplearning-mindmap

A mindmap summarising Deep Learning concepts.

efficientspeech

PyTorch code implementation of EfficientSpeech - to be presented at ICASSP2023.

fastapi

FastAPI framework, high performance, easy to learn, fast to code, ready for production

faster-whisper

Faster Whisper transcription with CTranslate2

hyprdots

// Aesthetic, dynamic and minimal dots for Arch hyprland

leetcode-solutions

A repository containing solutions to leetcode problems

llama2.c

Inference Llama 2 in one file of pure C

llm-lora-finetune

Repo to train llama2 using lora and peft, using a gui app.

longlora

Code and documents of LongLoRA and LongAlpaca

machine-learning-mindmap

A mindmap summarising Machine Learning concepts, from Data Analysis to Deep Learning.

machine-learning-roadmap

A roadmap connecting many of the most important concepts in machine learning, how to learn them and what tools to use to perform them.

mayanksinha900.github.io

Personal Portfolio

model-architectures

A repo that will contain architecture from different machine learning papers, both in keras and pytorch

ms-snsd

The Microsoft Scalable Noisy Speech Dataset (MS-SNSD) is a noisy speech dataset that can scale to arbitrary sizes depending on the number of speakers, noise types, and Speech to Noise Ratio (SNR) levels desired.

nemo

NeMo: a toolkit for conversational AI

portfolio-projects

python-audio

python_algorithms

All Algorithms implemented in Python

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

rust-cuda

Ecosystem of libraries and tools for writing and executing fast GPU code fully in Rust.

shepherd

This is the repo for the paper Shepherd -- A Critic for Language Model Generation

speech-classifier-affirmation-negation

styletts2

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

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.

transformers

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