现已上线！2025 年 Telegram 研究 — 年度关键洞察 
Machinelearning
前往频道在 Telegram
Погружаемся в машинное обучение и Data Science Показываем как запускать любые LLm на пальцах. По всем вопросам - @haarrp @itchannels_telegram -🔥best channels Реестр РКН: clck.ru/3Fmqri
显示更多📈 Telegram 频道 Machinelearning 的分析概览
频道 Machinelearning (@ai_machinelearning_big_data) 俄语 语言赛道中的 是活跃参与者。目前社区聚集了 293 089 名订阅者，在 技术与应用 类别中位列第 328，并在 俄罗斯 地区排名第 1 278 位。
📊 受众指标与增长动态
自 невідомо 创建以来，项目保持高速增长，吸引了 293 089 名订阅者。
根据 05 七月, 2026 的最新数据，频道保持稳定运转。过去 30 天订阅人数变化为 -6 348，过去 24 小时变化为 -139，整体触达仍然可观。
- 认证状态： 未认证
- 互动率 (ER)： 平均受众互动率为 7.34%。内容发布后 24 小时内通常能获得 5.46% 的反应，占订阅者总量。
- 帖子覆盖： 每篇帖子平均可获得 21 515 次浏览，首日通常累积 16 015 次浏览。
- 互动与反馈： 受众积极参与，单帖平均反应数为 161。
- 主题关注点： 内容集中在 openai, claude, api, gemini, контекст 等核心主题上。
📝 描述与内容策略
作者将该频道定位为表达主观观点的平台：
“Погружаемся в машинное обучение и Data Science
Показываем как запускать любые LLm на пальцах.
По всем вопросам - @haarrp
@itchannels_telegram -🔥best channels
Реестр РКН: clck.ru/3Fmqri”
凭借高频更新（最新数据采集于 06 七月, 2026），频道始终保持新鲜度与高覆盖。分析显示受众积极互动，使其成为 技术与应用 类别中的关键影响点。
293 089
订阅者
-13924 小时
-1 4157 天
-6 34830 天
帖子存档
292 990
Rapid research framework for PyTorch. The researcher's version of Keras
https://github.com/williamFalcon/pytorch-lightning
292 990
spaCy meets PyTorch-Transformers: Fine-tune BERT, XLNet and GPT-2
https://explosion.ai/blog/spacy-pytorch-transformers
292 990
Wasserstein Robust Reinforcement Learning
article:https://arxiv.org/abs/1907.13196v1
pdf: https://arxiv.org/pdf/1907.13196v1.pdf
292 990
MNIST-GAN: Detailed step by step explanation & implementation in code
https://medium.com/@garimanishad/mnist-gan-detailed-step-by-step-explanation-implementation-in-code-ecc93b22dc60
292 990
How to Implement Pix2Pix GAN Models From Scratch With Keras
https://machinelearningmastery.com/how-to-implement-pix2pix-gan-models-from-scratch-with-keras/
292 990
FixRes is a simple method for fixing the train-test resolution discrepancy. It can improve the performance of any convolutional neural network architecture.
Github: https://github.com/facebookresearch/FixRes
Article:https://arxiv.org/abs/1906.06423
292 990
Pix2Pix GAN Translation of Product
Sketches of Shoes to Photographs
A Gentle Introduction to Pix2Pix Generative Adversarial Network
https://machinelearningmastery.com/a-gentle-introduction-to-pix2pix-generative-adversarial-network/
292 990
A 2019 Guide to Semantic Segmentation
https://heartbeat.fritz.ai/a-2019-guide-to-semantic-segmentation-ca8242f5a7fc
292 990
For who have a passion for Machine and Deep Learning and Artificial intelligence
we highly recommend you new ML channel on Russian with advanced research well explainded by professionals @machine_learning_explained
292 990
Robust Neural Machine Translation
http://ai.googleblog.com/2019/07/robust-neural-machine-translation.html
292 990
Y-Autoencoders: disentangling latent representations via sequential-encoding
Article: https://arxiv.org/abs/1907.10949
GitHub: https://github.com/mpatacchiola/Y-AE
292 990
MultiDepth: Single-Image Depth Estimation via Multi-Task Regression and Classification
https://arxiv.org/abs/1907.11111
292 990
How to Develop a Least Squares Generative Adversarial Network (LSGAN) in Keras
https://machinelearningmastery.com/least-squares-generative-adversarial-network/
292 990
Predicting planets from orbital perturbations using deep learning
https://medium.com/tensorflow/predicting-planets-from-orbital-perturbations-using-deep-learning-cb58fb9996c5
292 990
New Open Source GPU-Accelerated Atari Emulator for Reinforcement Learning Now Available
https://news.developer.nvidia.com/new-open-source-gpu-accelerated-atari-emulator-for-reinforcement-learning-now-available/
292 990
TensorFlow Lite for Microcontrollers
https://github.com/tensorflow/tensorflow/tree/master/tensorflow/lite/experimental/micro
