Shubham Pachori (shubhampachori12110095)

shubhampachori12110095

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Shubham Pachori's repositories

Agent-Attention

Official repository of Agent Attention

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Awesome-LLM

Awesome-LLM: a curated list of Large Language Model

License:CC0-1.0Stargazers:0Issues:0Issues:0

chronos-forecasting

Chronos: Pretrained (Language) Models for Probabilistic Time Series Forecasting

License:Apache-2.0Stargazers:0Issues:0Issues:0

deepdow

Portfolio optimization with deep learning.

License:Apache-2.0Stargazers:0Issues:0Issues:0

dolphinscheduler

Apache DolphinScheduler is the modern data orchestration platform. Agile to create high performance workflow with low-code

License:Apache-2.0Stargazers:0Issues:0Issues:0

gluonts

Probabilistic time series modeling in Python

License:Apache-2.0Stargazers:0Issues:0Issues:0

gradint

Graduated Interval Recall program http://people.ds.cam.ac.uk/ssb22/gradint

Language:PythonLicense:GPL-3.0Stargazers:0Issues:2Issues:0

guardrails

Adding guardrails to large language models.

License:Apache-2.0Stargazers:0Issues:0Issues:0
License:NOASSERTIONStargazers:0Issues:0Issues:0

label-studio

Label Studio is a multi-type data labeling and annotation tool with standardized output format

License:Apache-2.0Stargazers:0Issues:0Issues:0

lightweight-charts-python

Python framework for TradingView's Lightweight Charts JavaScript library.

License:MITStargazers:0Issues:0Issues:0

llm-course

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

License:Apache-2.0Stargazers:0Issues:0Issues:0
License:NOASSERTIONStargazers:0Issues:0Issues:0

LLM4Decompile

Reverse Engineering: Decompiling Binary Code with Large Language Models

License:MITStargazers:0Issues:0Issues:0

llm_training_handbook

An open collection of methodologies to help with successful training of large language models.

License:CC-BY-SA-4.0Stargazers:0Issues:0Issues:0

llmware

Providing enterprise-grade LLM-based development framework, tools, and fine-tuned models.

License:Apache-2.0Stargazers:0Issues:0Issues:0

Minusformer

Improving Time Series Forecasting by Progressively Learning Residuals

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MoAI

Official PyTorch implementation code for realizing the technical part of Mixture of All Intelligence (MoAI) to improve performance of numerous zero-shot vision language tasks. (Under Review)

License:MITStargazers:0Issues:0Issues:0

neuralforecast

Scalable and user friendly neural :brain: forecasting algorithms.

License:Apache-2.0Stargazers:0Issues:0Issues:0
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pixels2flutter

Convert a screenshot to a working Flutter app.

License:AGPL-3.0Stargazers:0Issues:0Issues:0

presidio

Context aware, pluggable and customizable data protection and de-identification SDK for text and images

License:MITStargazers:0Issues:0Issues:0

PyPOTS

A Python toolbox/library for reality-centric machine/deep learning and data mining on partially-observed time series with PyTorch, including SOTA neural network models for science tasks of imputation, classification, clustering, and forecasting on incomplete (irregularly-sampled) multivariate time series with NaN missing values/data.

License:BSD-3-ClauseStargazers:0Issues:0Issues:0

python-patterns

A collection of design patterns/idioms in Python

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RWKV-TS

RWKV-TS: Beyond Traditional Recurrent Neural Network for Time Series Tasks

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skfolio

Python library for portfolio optimization built on top of scikit-learn

License:BSD-3-ClauseStargazers:0Issues:0Issues:0

StreamMultiDiffusion

Official code for the paper "StreamMultiDiffusion: Real-Time Interactive Generation with Region-Based Semantic Control."

License:MITStargazers:0Issues:0Issues:0

Time-Series-Library

A Library for Advanced Deep Time Series Models.

License:MITStargazers:0Issues:0Issues:0

torch2trt

An easy to use PyTorch to TensorRT converter

License:MITStargazers:0Issues:0Issues:0
License:Apache-2.0Stargazers:0Issues:0Issues:0