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amazing-feature-engineering

Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.

amazing-machine-learning-opensource-2019

Amazing Machine Learning Open Source Tools and Projects for the Past Year (v.2019)

amazing-resources

List of references and online resources related to data science, machine learning and deep learning.

awesome-machine-learning-models

Contribute your amazing Machine Learning, Data Science, and Deep Learning repository

awesome-multilingual-large-language-models

A comprehensive collection of multilingual datasets and large language models, meticulously curated for evaluating and enhancing the performance of large language models across diverse languages and tasks.

bangalasr

Transformer based Bangla Speech Recognition

bangla-clip

CLIP (Contrastive Language–Image Pre-training) for Bangla.

bangla-deep-speech-recognition

bangla-image-search

A dead-simple image search and image-text matching system for Bangla using CLIP

bangla-tts

Bangla text to speech, Multilingual (Bangla, English) real-time ([almost] in a GPU) speech synthesis library

banglaspeech2text

BanglaSpeech2Text: An open-source offline speech-to-text package for Bangla language. Fine-tuned on the latest whisper speech to text model for optimal performance.

bhagwadgitagpt

Large Language Model trained on Bhagwad Geeta Sanskrit Text and its Hindi Commentary

crawl-data-api

(Updated) Data api(china), Ctrip, Taobao, Pinduoduo, Xiaohongshu, WeChat article, Dianping, Kuaishou, JD.com, Ele.me, Bilibili, Zhihu, Weibo, Bigo, TEMU, Dewu, shopee, baidu index, and other data api; large language model training prediction

enhancing-reinforcement-learning-with-label-sensitive-reward-for-natural-language-understanding-

Recent strides in large language models (LLMs) have yielded remarkable performance, leveraging reinforcement learning from human feedback (RLHF) to significantly enhance gener. However, RLHF encounters numerous challenges, including the objective mismatch issue, leading to suboptimal performance in Natural Language Understanding (NLU) tasks.

gcp-ml-certification

A study guide for preparing for the GCP Professional Machine Learning Certification in one week or less.

gpt4all-cli

By utilizing GPT4All-CLI, developers can effortlessly tap into the power of GPT4All and LLaMa without delving into the library's intricacies. Simply install the CLI tool, and you're prepared to explore the fascinating world of large language models directly from your command line!

hindi-tts

Text to Speech system for Hindi language

iit-bombay-whisper-hindi-asr-model-machine-learning-intern

Whisper is an automatic speech recognition (ASR) system trained on 680,000 hours of multilingual and multitask supervised data collected from the web. We show that the use of such a large and diverse dataset leads to improved robustness to accents, background noise and technical language. Moreover, it enables transcription in multiple languages, as

llm

Sharing LLM basic ideas and code

nl2flinllm

Codes for paper: Formal Specification Generation via Prompt-based Large Language Models

paddle

PArallel Distributed Deep LEarning

rllab

rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.

rllab-adv

Code to train RL agents along with Adversarial distrubance agents

roboschool

Open-source software for robot simulation, integrated with OpenAI Gym.

sparklr

Fast and accurate LR Spark Machine Learning Training for Image-Ads CTR prediction.

text-semantic-similarity-for-indian-languages-using-bert

A Text Semantic Similarity model for Hindi language using Bert, a large number of different models are testes

wall-e

Codebase for Efficient yet simple Reinforcement Learning Research Framework

what-if-explainability

Explaining Trees (LightGBM) with FastTreeShap (Shapley) and What if tool